Learning and forgetting using reinforced Bayesian change detection von Moens, Vincent, Zénon, Alexandre

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SAMBA: safe model-based & active reinforcement learning von Cowen-Rivers, Alexander I., Palenicek, Daniel, Moens, Vincent, Abdullah, Mohammed Amin, Sootla, Aivar, Wang, Jun, Bou-Ammar, Haitham

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ACEGEN: Reinforcement Learning of Generative Chemical Agents for Drug Discovery von Bou, Albert, Thomas, Morgan, Dittert, Sebastian, Navarro, Carles, Majewski, Maciej, Wang, Ye, Patel, Shivam, Tresadern, Gary, Ahmad, Mazen, Moens, Vincent, Sherman, Woody, Sciabola, Simone, De Fabritiis, Gianni

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Variational Bayes Applied To The Simple and Full Drift Diffusion Models von Moens, Vincent, Zénon, Alexandre

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Habits, Action Sequences And Working Memory From A Behavioral And A Computational Perspective von Vincent, Moens, Alexandre, Zénon, Etienne, OLIVIER

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Habits, Action Sequences And Working Memory From A Behavioral And A Computational Perspective von Vincent, Moens, Alexandre, Zénon, Etienne, OLIVIER

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The Hierarchical Adaptive Forgetting Variational Filter von Moens, Vincent

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BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO von Dittert, Sebastian, Moens, Vincent, De Fabritiis, Gianni

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BenchMARL: Benchmarking Multi-Agent Reinforcement Learning von Bettini, Matteo, Prorok, Amanda, Moens, Vincent

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BenchMARL: Benchmarking Multi-Agent Reinforcement Learning von Bettini, Matteo, Prorok, Amanda, Moens, Vincent

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The Hierarchical Adaptive Forgetting Variational Filter von Moens, Vincent

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BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO von Dittert, Sebastian, Moens, Vincent, De Fabritiis, Gianni

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RoboHive: A Unified Framework for Robot Learning von Kumar, Vikash, Shah, Rutav, Zhou, Gaoyue, Moens, Vincent, Caggiano, Vittorio, Vakil, Jay, Gupta, Abhishek, Rajeswaran, Aravind

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P$ILCRO: Making Importance Landscapes Flat Again von Moens, Vincent, Yu, Simiao, Salimi-Khorshidi, Gholamreza

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Viscos Flows: Variational Schur Conditional Sampling With Normalizing Flows von Moens, Vincent, Sootla, Aivar, Ammar, Haitham Bou, Wang, Jun

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CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning von Mandi, Zhao, Bharadhwaj, Homanga, Moens, Vincent, Song, Shuran, Rajeswaran, Aravind, Kumar, Vikash

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ACEGEN: Reinforcement learning of generative chemical agents for drug discovery von Bou, Albert, Thomas, Morgan, Dittert, Sebastian, Ramírez, Carles Navarro, Majewski, Maciej, Wang, Ye, Patel, Shivam, Tresadern, Gary, Ahmad, Mazen, Moens, Vincent, Sherman, Woody, Sciabola, Simone, De Fabritiis, Gianni

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TorchRL: A data-driven decision-making library for PyTorch von Bou, Albert, Bettini, Matteo, Dittert, Sebastian, Kumar, Vikash, Sodhani, Shagun, Yang, Xiaomeng, De Fabritiis, Gianni, Moens, Vincent

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APPARATUS AND METHOD FOR TRAINING PARAMETRIC POLICY von MOENS, Vincent, VAN ASSEL, Hugues, BOU AMMAR, Haitham

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AN APPARATUS AND METHOD FOR TRAINING A PARAMETRIC POLICY von MOENS, Vincent, VAN ASSEL, Hugues, BOU AMMAR, Haitham

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